Full-Duplex Self Cancellation Techniques Using Independent Component Analysis

Hsi-Hung Lu; Mohammed E. Fouda; Chung-An Shen; A. Eltawil

doi:10.1109/IEEECONF51394.2020.9443385

Full-Duplex Self Cancellation Techniques Using Independent Component Analysis

Hsi-Hung Lu, Mohammed E. Fouda, Chung-An Shen, A. Eltawil

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Independent component analysis (ICA) has been shown as a promising means for solving the self-interference cancellation (SIC) problem for in-band full duplex systems. This paper presents a detailed analysis of the interference suppression capability and computational complexity of several different ICA algorithms, operating at either real-valued or complex-valued domain. In addition, on the basis of the setup of the full-duplex system, we show that a much simplified complex-valued ICA algorithm that only performs whitening and decorrelation processes are sufficient to separate the signal of interest from the mixed signal. Extensive simulation results are presented in this paper to illustrate the performance and complexity of various ICA approaches applying to the full-duplex system.

Original language	English (US)
Title of host publication	2020 54th Asilomar Conference on Signals, Systems, and Computers
Publisher	IEEE
Pages	900-904
Number of pages	5
ISBN (Print)	9780738131269
DOIs	https://doi.org/10.1109/IEEECONF51394.2020.9443385
State	Published - 2020
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2021-09-07
Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation under award number 1710746.

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10.1109/IEEECONF51394.2020.9443385

Cite this

@inproceedings{b72d65b18a2a42798cea390bb9ac658c,

title = "Full-Duplex Self Cancellation Techniques Using Independent Component Analysis",

abstract = "Independent component analysis (ICA) has been shown as a promising means for solving the self-interference cancellation (SIC) problem for in-band full duplex systems. This paper presents a detailed analysis of the interference suppression capability and computational complexity of several different ICA algorithms, operating at either real-valued or complex-valued domain. In addition, on the basis of the setup of the full-duplex system, we show that a much simplified complex-valued ICA algorithm that only performs whitening and decorrelation processes are sufficient to separate the signal of interest from the mixed signal. Extensive simulation results are presented in this paper to illustrate the performance and complexity of various ICA approaches applying to the full-duplex system.",

author = "Hsi-Hung Lu and Fouda, {Mohammed E.} and Chung-An Shen and A. Eltawil",

note = "KAUST Repository Item: Exported on 2021-09-07 Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation under award number 1710746.",

year = "2020",

doi = "10.1109/IEEECONF51394.2020.9443385",

language = "English (US)",

isbn = "9780738131269",

pages = "900--904",

booktitle = "2020 54th Asilomar Conference on Signals, Systems, and Computers",

publisher = "IEEE",

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TY - GEN

T1 - Full-Duplex Self Cancellation Techniques Using Independent Component Analysis

AU - Lu, Hsi-Hung

AU - Fouda, Mohammed E.

AU - Shen, Chung-An

AU - Eltawil, A.

N1 - KAUST Repository Item: Exported on 2021-09-07 Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation under award number 1710746.

PY - 2020

Y1 - 2020

N2 - Independent component analysis (ICA) has been shown as a promising means for solving the self-interference cancellation (SIC) problem for in-band full duplex systems. This paper presents a detailed analysis of the interference suppression capability and computational complexity of several different ICA algorithms, operating at either real-valued or complex-valued domain. In addition, on the basis of the setup of the full-duplex system, we show that a much simplified complex-valued ICA algorithm that only performs whitening and decorrelation processes are sufficient to separate the signal of interest from the mixed signal. Extensive simulation results are presented in this paper to illustrate the performance and complexity of various ICA approaches applying to the full-duplex system.

AB - Independent component analysis (ICA) has been shown as a promising means for solving the self-interference cancellation (SIC) problem for in-band full duplex systems. This paper presents a detailed analysis of the interference suppression capability and computational complexity of several different ICA algorithms, operating at either real-valued or complex-valued domain. In addition, on the basis of the setup of the full-duplex system, we show that a much simplified complex-valued ICA algorithm that only performs whitening and decorrelation processes are sufficient to separate the signal of interest from the mixed signal. Extensive simulation results are presented in this paper to illustrate the performance and complexity of various ICA approaches applying to the full-duplex system.

UR - http://hdl.handle.net/10754/670948

UR - https://ieeexplore.ieee.org/document/9443385/

UR - http://www.scopus.com/inward/record.url?scp=85107771395&partnerID=8YFLogxK

U2 - 10.1109/IEEECONF51394.2020.9443385

DO - 10.1109/IEEECONF51394.2020.9443385

M3 - Conference contribution

SN - 9780738131269

SP - 900

EP - 904

BT - 2020 54th Asilomar Conference on Signals, Systems, and Computers

PB - IEEE

ER -

Full-Duplex Self Cancellation Techniques Using Independent Component Analysis

Abstract

Bibliographical note

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